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Access Type
WSU Access
Date of Award
January 2022
Degree Type
Dissertation
Degree Name
Ph.D.
Department
Biomedical Engineering
First Advisor
Mahendra Kavdia
Second Advisor
Adi L. Tarca
Abstract
Premature birth (delivery between 20 and 36+6 weeks of gestation) is the leading cause of adverse pregnancy outcomes. Therefore, timely identification of women at risk of subsequently delivering prematurely remains key to reducing the number of adverse outcomes. Amniotic fluid surrounding the developing fetus is a rich source of biological signals emanating from the fetus and pregnancy-related maternal organs. The molecular composition of amniotic fluid reflects not only the physiologic state of the pregnancy, including the development of fetal organ systems, but also the pathophysiology. This project explores the amniotic fluid proteins and RNAs in normal and preterm pregnancies to identify candidate biomarkers of prematurity. The findings are relevant not only for in-utero fetal maturation monitoring but also for identifying asymptomatic women at risk of developing pregnancy complications, thereby reducing the number of adverse outcomes for the mother and her neonate.
Recommended Citation
Bhatti, Gaurav, "Amniotic Fluid Omics Analysis For Phenotyping Preterm Birth" (2022). Wayne State University Dissertations. 3776.
https://digitalcommons.wayne.edu/oa_dissertations/3776